
Senior Manager - M&A Model Points Team
- Mumbai, Maharashtra
- Permanent
- Full-time
- Work with colleagues across with other areas within Finance and Risk to support delivery of financial Reporting in line with regulatory deadlines.
- Collect, clean, and pre-process large datasets from various sources.
- Analyse data from across the Performance landscape to identify trends, patterns, and anomalies, so it can be used to provide valuable insights in order to drive better client outcomes.
- Ideate and provide solutions in manipulation of data using Python / Power BI or any other Tools that’s within the scope of M&G Technology.
- Support UAT Testing E2E and ensure Production Readiness.
- Fully document process-level controls and embed controls dashboarding for model points production.
- Understand and appreciate the requirement of model points team; liaise with multiple stakeholders including but not limited to Diligenta and auditors.
- Delivers outputs that are clearly defined, using discretion over how to achieve them
- Provide specialist technical advice and guidance on the application of Finance data management principles/tools to support business objectives, coaching and guiding less experienced members within the team.
- Provide support for ad hoc data analysis requests including investigation of data issues, subset or amended datasets, and bespoke analysis on individual products.
- Active Involvement in Project calls and meetings and provide appropriate support. Also highlight any concerns or issues impacting the BAU.
- Responsible for responding to queries from internal and external auditors accurately and in a timely manner.
- Maintain and develop knowledge of technical requirements of job together with the framework in which M&G India operates.
- Seek and act on opportunities to develop wider and deeper technical and business understanding including use of data in actuarial modelling by our stakeholders
- Ability to develop clear, workable plans for self; monitor progress; ensure deadlines and commitments are met
- Works within established frameworks and procedures, with the freedom to interpret them to solve a range of problems
- Ability to confidently express own viewpoint and to clearly and simply communicate actuarial issues within their team
- Compliance – Ensure understanding and adherence to M&G Global Services’ Code of Conduct and, where appropriate, comply with all relevant regulatory policies. This includes completion of any mandatory training requirements
- Performance Management – follow and contribute to the recognised Performance Management process
- Ability to plan and prioritise own workload
- Ability to deliver on multiple tasks to demanding timescales
- Communicate effectively with others, develop positive networks and working relationships
- Good technical Data Analytical knowledge, with attention to detail
- Motivated and willing to take responsibility and ownership of the work assigned
- Demonstrable experience of problem solving and providing practical solutions to complex problems
- Some valuation experience of UK life insurance and annuity products would be an advantage
- Strong documentations skills.
- Strong commercial and collaboration skills
- Good technical actuarial knowledge, with attention to detail
- Working Knowledge of VBA, Power BI, SQL, Advanced Excel, Data Analysis is required. Python knowledge would be added advantage.
- Knowledge of the business and/ or Solvency II and/ or IFRS financial reporting experience would be an advantage, however on-the-job training will be provided to successful candidate.
- Commercial aptitude and the ability to consider the impact of decisions
- Demonstrate the actions and activities undertaken within your role which show how you engage with, positively display and role model our values and behaviours through the achievement of your personal/team objectives
- 6-9 years of relevant Data Analytics experience
- Past experience of working on Data Modelling, Data Wrangling or monitoring is an added advantage
- Experience of working on Financial Services would be desirable
- Bachelor’s Degree / Master’s Degree
- Any Data Analyst Certifications would be an advantage.